Research Interests

We are interested in developing computational methods to analyze large biological (e.g. genomics, proteomics) datasets. We apply techniques from machine learning, graph theory, statistics etc, and currently our research focuses on the following subfields of molecular biology:

Post-transcriptional Regulation

(RNA-binding proteins, microRNAs, lncRNAs)

Cancer Biology

(subtyping, driver genes)

Research Projects

Novel computational approaches for the prediction of personalized cancer driver genes using omics data

6/1/2020 - ​6/1/2022
TÜSEB [​2019-TA-01 4069] 
502,000 ₺

Novel methods for cancer gene prioritization and cancer module discovery

9/1/2018 - 9/1/2021
TÜBİTAK [​117E879]
549,301  ₺

Systematic study of post-transcriptional regulation mediated by RNA-binding proteins and miRNAs.

EU FP7 Marie Curie CIG Grant
 100,000 €

Tübitak 3501 Project

163,741 ₺